arXiv cs.CL
· Papers
SurakshaEval: An Indic Safety Benchmark for Multilingual LLMs
arXiv:2608.07862v1 Announce Type: new Abstract: Existing safety evaluation datasets for large language models (LLMs) predominantly focus on English and Western contexts, often overlooking the linguistic diversity and culturally grounded safety risks present in other languages. To address this gap, we introduce Suraksha